Irena Marková

833 citations
58 papers · 550 · h-index 14

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 11
    • Peroxisome Proliferator-Activated Receptors 6
    • Adipose Tissue and Metabolism 13

Irena Marková

55 papers receiving 543 citations

Peers

Irena Marková
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 129
  • Clinical Biochemistry 44
  • Biochemistry 33
  • Physiology 91
  • Nephrology 25
Replace Martina Hüttl with:
Martina Hüttl Czechia
Vicente Mora Llabata Spain
Noureddine Idris-Khodja Canada
Fen Yuan China
Tarek M. Ali Egypt
Sachin V. Suryavanshi India
Rocío Bautista‐Pérez Mexico
Yizhen Xu United States
Waleska Dornas Brazil
Irena Marková relative to Martina Hüttl Czechia Martina Hüttl's profile →
Citations per field
00.5×2.7×
Martina Hüttl · 1×
Citations per year

Countries citing papers authored by Irena Marková

Since Specialization
Citations

This map shows the geographic impact of Irena Marková's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Irena Marková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irena Marková more than expected).

Fields of papers citing papers by Irena Marková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irena Marková. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Irena Marková. The network helps show where Irena Marková may publish in the future.

Co-authors

The 25 scholars most cited alongside Irena Marková, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Irena Marková Line = papers co-authored together Irena Marková links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200438
2 202130
3 202127
4 202024
5 202122
6 201921
7 202219
8 201919
9 202117
10 202116
11 202116
12 201715
13 202014
14 202214
15 201613
16 202113
17 202112
18 200912
19 201911
20 202111

About Irena Marková

Irena Marková is a scholar working on Molecular Biology, Physiology, Epidemiology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 550 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Metabolism, Diabetes, and Cancer (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Pancreatic function and diabetes (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes Treatment and Management (6 papers) and Silymarin and Mushroom Poisoning (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (129 citations), Clinical Biochemistry (44 citations), Biochemistry (33 citations), Physiology (91 citations) and Nephrology (25 citations). Irena Marková has collaborated with scholars based in Czechia, United States and Slovakia. Frequent co-authors include Hana Malínská, Martina Hüttl, Olena Oliyarnyk, Martin Poruba, Ludmila Kazdová, Jaroslava Trnovská, Martin Haluzı́k, Rostislav Večeřa, Michal Pravenec and Ond⊘řej Šeda. Their work appears in journals such as Physiological Research, International Journal of Molecular Sciences, Nutrients, Antioxidants and Frontiers in Pharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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